code: def K(
      self, a_input: tf.Tensor, b_input: Optional[tf.Tensor] = None
  ) -> tf.Tensor:
      transformed_a = self.cnn(a_input)
      transformed_b = (
          self.cnn(b_input) if b_input is not None else b_input
      )
      return self.base_kernel.K(transformed_a, transformed_b)
  
file_path: GPflow/doc/sphinx/notebooks/tailor/gp_nn.pct.py
imports: from typing import Dict, Optional, Tuple
  import numpy
  import tensorflow
  import tensorflow_datasets
  from scipy.cluster.vq import kmeans2
  import gpflow
  from gpflow.ci_utils import reduce_in_tests
  from gpflow.utilities import to_default_float
label_desc: Use image node_id 2 for calling the KernelWithConvNN obj's underlying member method code with example usage: obj.K(a_input, b_input) and returns: self